Incident Analyzer Deduplication for Distributed Systems
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Solution Overview
Problem
In distributed processing systems, the sheer volume of error and status reports overwhelms systems administrators, making it difficult to handle and identify meaningful incidents due to the overwhelming number of reports, which become unhelpful and irrelevant.
Innovation Solution
An incident analyzer identifies attribute combination entries of location identifications and incident types, analyzes each location identification, and counts attribute pairs to determine the number of unique incidents, thereby filtering out irrelevant information and providing a manageable number of unique incidents for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all error and status reports are collected and presented to systems administrators, then complete information is available for analysis, but the sheer volume of reports becomes overwhelming and unmanageable
Solution Approach 1:
The patent extracts only the essential and unique incident information from the overwhelming volume of error and status reports. By identifying and extracting unique incidents based on specific criteria (error type, component, severity), the system presents only the most relevant information to administrators, filtering out redundant duplicate reports while maintaining information completeness.
Solution Approach 2:
The patent segments the large volume of incident reports into manageable categories and unique incident types. By organizing reports into distinct segments based on error characteristics and uniqueness criteria, the system makes the information structure manageable and analyzable without presenting the entire raw volume to administrators.
2Ease of operation
If duplicate error reports are filtered out to reduce volume, then manageability improves, but potential loss of relevant incident details may occur
Solution Approach 1:
The patent carefully extracts only true duplicates for filtering while preserving unique incident details. By applying specific uniqueness criteria (error type, affected component, severity level), the system extracts and removes only identical duplicate reports, ensuring that no relevant incident details are lost in the deduplication process.
Solution Approach 2:
The patent applies different quality standards to different aspects of incident reports. Not all reports are treated uniformly - instead, each report is evaluated against specific local criteria (error type matching, component matching, severity matching) to determine uniqueness, allowing selective filtering that preserves important details while removing true duplicates.
Data Source
AI summary
Methods, apparatuses, and computer program products for determining a number of unique incidents in a plurality of incidents for incident processing in a distributed processing system are provided. Embodiments include an incident analyzer identifying within the plurality of incidents, attribute combination entries of location identifications and incident types and analyzing each location identification in each attribute combination entry according to a sequence of the attribute combination entries including creating attribute pairs. The incident analyzer is also configured to count the attribute pairs. The number of attribute pairs is the number of unique incidents in the plurality of incidents.